Cover image for Axiomatic Quality : Integrating Axiomatic Design with Six-Sigma, Reliability, and Quality Engineering.
Axiomatic Quality : Integrating Axiomatic Design with Six-Sigma, Reliability, and Quality Engineering.
Title:
Axiomatic Quality : Integrating Axiomatic Design with Six-Sigma, Reliability, and Quality Engineering.
Author:
El-Haik, Basem.
ISBN:
9780471714675
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (307 pages)
Contents:
AXIOMATIC QUALITY -- CONTENTS -- FOREWORD -- PREFACE -- 1 INTRODUCTION TO THE AXIOMATIC QUALITY PROCESS -- 1.1 Why Axiomatic Quality? -- 1.2 Goals and Scope of the Book -- 1.3 Axiomatic Design -- 1.4 Six-Sigma and Design for Six-Sigma Philosophy -- 1.4.1 Introduction to Design for Six-Sigma -- 1.5 Robustness Engineering: Taguchi's Quality Engineering -- 1.6 Problems Addressed by Axiomatic Quality -- 1.7 Introduction to the Axiomatic Quality Process -- 1.8 Axiomatic Quality in Product Development -- 1.9 Summary -- 2 AXIOMATIC DESIGN METHOD -- 2.1 Introduction -- 2.2 Axiomatic Design Method -- 2.2.1 Design Domains -- 2.2.2 Design Hierarchy and Zigzagging Process -- Acclaro DFSS Light® ftp://ftp.wiley.com/public/sci_tech_med/axiomatic_quality/ -- 2.3 Introduction to the Independence Axiom -- 2.4 Introduction to the Information Axiom -- 2.5 Axiomatic Design Theorems and Corollaries -- 2.5.1 Axiomatic Design Corollaries -- 2.5.2 Axiomatic Design Theorems of General Design -- 2.5.3 Theorems for Design of Large Systems -- 2.6 Case Study: Depth Charge Initiator (Nordlund, 1996) -- 2.7 Summary -- 3 INDEPENDENCE AXIOM -- 3.1 Introduction -- 3.2 Independence Axiom and the Zigzagging Approach -- 3.2.1 Coupling Measures -- 3.3 Design Mappings and Design Structures -- 3.4 Case Study 1: Axiomatic Design of a Water Faucet (Swenson and Nordlund, 1995) -- 3.5 Case Study 2: Implementation Methodology for Transition from Traditional to Cellular Manufacturing Using Axiomatic Design (Durmusoglu et al., 2002) -- 3.5.1 Axiomatically Driven Cellular Manufacturing System -- 3.6 Summary -- 4 INFORMATION AXIOM AND DESIGN COMPLEXITY -- 4.1 Introduction -- 4.2 Traditional Formulation of the Information Axiom: Suh's Definition -- 4.2.1 Complexity Reduction Techniques -- 4.3 Complexity Vulnerability -- 4.4 Theoretical Foundation of the New Complexity Theory.

4.5 New Complexity Theory -- 4.5.1 Coupled Design Complexity -- 4.6 Complexity Due to Statistical Correlation -- 4.7 Summary -- 5 QUALITY ENGINEERING: AXIOMATIC PERSPECTIVE -- 5.1 Introduction -- 5.2 Robust Design (Quality Engineering): Overview -- 5.3 Mathematical Relationship between the Quality Loss Function and Axiomatic Measures -- 5.4 Mathematical Relationship between the Quality Loss Function and Axiomatic Measures of Higher Modularity -- 5.4.1 Equal Variance -- 5.4.2 Equal Sensitivity -- 5.5 Estimation of the Expected Loss Function -- 5.6 Mathematical Relationship between the Signal-to-Noise Ratio and Axiomatic Measures -- 5.7 Summary -- 6 AXIOMATIC QUALITY AND RELIABILITY PROCESS -- 6.1 Introduction -- 6.2 Axiomatic Quality Process -- 6.2.1 Why the Axiomatic Quality Process? -- 6.2.2 Axiomatic Quality Process Map -- 6.2.3 Axiomatic Quality Design Team -- 6.3 Customer Attributes-to-FRs Mapping: Understanding the Voice of the Customer -- 6.3.1 QFD Stage 1 -- 6.3.2 QFD Stage 2 -- 6.4 Conceptual Design for Capability Phase -- 6.4.1 Define FR Specification Target Values and Allowable Tolerances -- 6.5 Option A: Conceptual Design for the Capability Phase of an Incremental Design -- 6.5.1 Step A.1: Perform the Physical Mapping (Design Analysis) -- 6.5.2 Step A.2: Perform the Physical Mapping (Design Synthesis) -- 6.5.3 Step A.3: Uncouple or Decouple the Design Mappings -- 6.5.4 Step A.4: Conduct Axiomatic Quality Concept Selection -- 6.5.5 Step A.5: Detail the Structures -- 6.5.6 Step A.6: Prepare for the Optimization Phase of the Structure Selected -- 6.6 Option B: Conceptual Design for the Capability Phase of a Creative Design -- 6.6.1 Step B.1: Define the Pursuit Ideal Product -- 6.6.2 Step B.2: Understand and Project Product Evolution -- 6.6.3 Step B.3: Initial Concept Generation -- 6.7 Axiomatic Quality Optimization Phase.

6.8 Axiomatic Quality Process Deployment -- 7 AXIOMATIC QUALITY PROCESS CONCEPT SELECTION PROCESS -- 7.1 Introduction -- 7.2 Design Feasibility in Axiomatic Quality -- 7.2.1 Modules -- 7.2.2 Design Technical (Morphological) Feasibility -- 7.3 Concept Selection Problem -- 7.4 Concept Selection Fuzzy Modeling -- 7.4.1 Fuzzy Concepts -- 7.4.2 Possibility-Probability Consistency Principle -- 7.4.3 Maximum Entropy Formulation -- 7.5 Axiomatic Quality Fuzzy Concept Selection Formulation -- 7.5.1 Case Study: Global Commercial Process -- 7.6 Summary -- 8 CONCEPTUAL DESIGN FOR CAPABILITY PHASE -- 8.1 Introduction -- 8.2 Problems That Can Be Solved by Axiomatic Quality -- 8.3 Conceptual Design for the Capability Phase -- 8.3.1 Implication of Coupling in the CDFC Phase -- 8.3.2 Step A.3: Uncouple or Decouple the Design Mappings -- 8.4 Case Study: Transmission Vane Oil Pump CDFC -- 8.4.1 Pump Zigzagging Process -- 8.4.2 Decoupling Phase -- 8.4.3 Step A.5: Detail the Design -- 8.5 Theory of Inventive Problem Solving -- 8.5.1 TRIZ in the Axiomatic Quality Process -- 8.6 Summary -- Appendix 8A: Design Matrixes -- 9 AXIOMATIC QUALITY OPTIMIZATION PHASE -- 9.1 Introduction -- 9.2 Axiomatic Quality Operational Vulnerability Optimization -- 9.2.1 Vulnerability Optimization Routine -- 9.3 Parameter Design Optimization -- 9.3.1 Noise Factors Identification -- 9.3.2 Parameter Design Optimization DOEs -- 9.3.3 Data Collection and Results Analysis -- 9.3.4 Case Study: Axiomatic Quality Parameter Design -- 9.4 Axiomatic Quality Strategy in the Tolerance Optimization Phase -- 9.4.1 Robustness at Six-Sigma Quality: Signal-to-Noise Ratio and Quality Loss Function -- 9.5 Design Operational Vulnerability Optimization Using Tolerances of Uni-FR Design Modules -- 9.5.1 Coupling Vulnerability Constraint -- 9.5.2 Meaning of the Solution.

9.6 Design Operational Vulnerability Optimization Using Tolerances of an FR Array -- 9.7 Summary -- Appendix 9A: Proof of Theorem 9.1 -- 10 CASE STUDY: LOW-PASS FILTER AXIOMATIC QUALITY PROCESS -- 10.1 Introduction -- 10.2 Problem Statement -- 10.3 Passive Filter Conceptual Design for the Capability Phase -- 10.4 Passive Filter Tolerance Optimization Phase -- 11 AXIOMATIC RELIABILITY -- 11.1 Introduction -- 11.2 Why Axiomatic Reliability? -- 11.3 Axiomatic Reliability in the Development Cycle -- 11.4 Axiomatic Reliability in the Design Stages -- 11.4.1 Linear, Independent, Uncoupled Design -- 11.4.2 Linear, Independent, Decoupled Design -- 11.5 Case Study: Passive Filter Design -- 11.6 Physical Structure Axiomatic Reliability Formulation -- 11.6.1 Time-Dependent Physical Structure Axiomatic Reliability Assessment -- 11.7 Physical Structure Axiomatic Importance Formulation -- 11.7.1 Structured Modules -- 11.8 Design for Reliability -- 11.9 Summary -- REFERENCES -- INDEX.
Abstract:
BASEM SAID EL-HAIK, PhD, is Director of Textron Six-Sigma and Transformation at Textron Inc., where he is responsible for design of Six-Sigma and Six-Sigma deployment, including Black Belt waves, champions, and projects. He is a coauthor of Design for Six- Sigma: A Roadmap for Product Development. Dr. El-Haik also lectures and researches extensively on axiomatic design, robust design, Six-Sigma, and state-of-the-art quality methods.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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